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/radar-ledger-update

Safely update TRENDS.md (the AI Security Radar ledger): append evidence, move stages, manage observation_queue, source_rotation and strategy_notes without breaking the file contract. Use every time TRENDS.md is edited, before committing radar updates, and when promoting or

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ai-security-research-radar
811 skills

Claude Code

$ npx -y skills add Neetx/ai-security-research-radar --skill radar-ledger-update --agent claude-code

SKILL.md

radar-ledger-update.SKILL.md
name: radar-ledger-update
description: |
  Safely update TRENDS.md (the AI Security Radar ledger): append evidence, move stages, manage observation_queue, source_rotation and strategy_notes without breaking the file contract. Use every time TRENDS.md is edited, before committing radar updates, and when promoting or archiving trends.

Update the ledger safely

`TRENDS.md` is the single source of truth and later sessions parse it. The structure is a contract.

File contract (do not change)

  • Header: `# Trend ledger — AI Security Radar`, then `Last updated: YYYY-MM-DD`, then the

stage legend.

  • Sections, in this order: `## Active trends`, `## observation_queue`,

`## source_rotation`, `## strategy_notes`, `## study_shelf`, `## calibration`.

  • `## source_rotation`, `## strategy_notes` and `## calibration` are POINTER stubs only: their real

append-only content lives in `logs/source_rotation.md` and `logs/calibration.md` respectively. Keep the two stub headers (the section order is the contract) but NEVER inline log lines back into TRENDS.md — appends go to the `logs/` files.

  • Trend block: `### [id: slug-NNN] Title` with fields `alias`, optional

`pinned: true`, `stage`, `confidence`, `first_observed`, `last_evidence`, `evidence:` (list), `notes:`.

  • Evidence line: `- YYYY-MM-DD — URL — one line of context`.

Rules

  • Match findings to existing trends via id and `alias` before creating a new

trend. New trends take the next free NNN and start at `seed` or `emerging`.

  • ROUTE a captured primary, don't default to "queue it": (a) if it lands on an

EXISTING trend's axis, append it as EVIDENCE there — a single primary suffices for an existing trend; the ≥3-source bar is only for CREATING a trend; (b) if the queue now holds ≥3 independent groups on one untracked sub-theme, promote that cluster to a `seed` trend; (c) else it stays a queue item. Leaving an on-axis primary in the queue (hoarding evidence) or a named primary in report prose only is a routing failure.

  • Max 10 evidence items per trend — drop the oldest. Keep `last_evidence` equal

to the newest evidence date.

  • **`notes` is STATE, not an archive (bounded — APPLIED 2026-09-19, W38, was W37

Proposal R; cooling period held, signal persisted: TRENDS.md reached ~468 KB with the single largest `notes` field ~55 KB (agentic-attack-surface-001), a full day-by-day running narrative that bloats every future run's context although its substance is already preserved write-once in the daily/weekly reports + git).** A trend's `notes` holds only: (1) the seed/promotion rationale (why it is a trend and its current stage), (2) the last ~6–8 dated appends, and (3) open promotion levers + current rotate-candidates. When appending would push `notes` past this — as a soft guide, keep a single `notes` field under ~4 KB — COMPRESS: drop the oldest dated narrative (the citable artifacts already live in `evidence:`; the full day-by-day story lives in the reports) and replace it with a one-line pointer ("full append narrative in the daily/weekly reports + git history"). Compressing `notes` this way is CURATION of a state field, not rewriting published history (which applies to `evidence:` lines, ARCHIVE.md and the append-only logs — those are never rewritten). Trim a bloated `notes` on the next run that touches that trend.

  • Stage moves: at most ONE stage up per trend per day, only on new independent

evidence, justified in `notes`. Demotions are always allowed. 21+ days without evidence → `dormant`; at 45+ days the weekly pass moves the entry to `ARCHIVE.md` as a one-line post-mortem.

  • Pinned trends (`pinned: true`): NEVER auto-archived, no matter how long

without evidence — they are the curator's standing-watch axes. They still follow the normal stage rules, INCLUDING going `dormant` when quiet (the ledger stays truthful about activity); they simply never leave the board. Only the curator adds/removes a pin (or the agent proposes it via amendment).

  • `observation_queue` items are dated and marked "unverified" unless opened. It

is a WORKING SET (signals pending verification), not a knowledge store — keep it bounded to a soft cap of ~25 live items by a CAP-DRIVEN burndown that runs every session, including quiet/no-evidence passes: while the queue is OVER the cap, resolve the oldest items toward the cap that run regardless of what the scan found; at/under the cap it stops on its own (resolve only the 1–2 oldest if stale). This is owed every run, never deferred to the weekly — a no-evidence pass is not a no-op for the queue. Items leave ONLY by resolution: promoted to a trend (the signal is captured there) or dropped with a one-line reason in the day's/week's report (write-once, permanent). NEVER silently delete — because every removal is either a promotion or a recorded drop, shrinking the queue loses no knowledge. Re-date an item only if it is genuinely still worth watching.

  • Append one dated line per session to `logs/source_rotation.md` (the coverage

log; not the TRENDS.md stub). Append dated corrections to `logs/strategy_notes.md` (the strategy log; not the TRENDS.md stub); never delete curator entries.

  • `study_shelf`: newest first, format `date — [name](url) — one line of why`;

single-artifact items allowed (the trend bar does not apply), opened primary sources only.

  • `calibration` (now `logs/calibration.md`) is append-only and written by weekly

runs only (see the `radar-self-eval` skill); daily runs never touch it.

  • Update the `Last updated` line. Keep everything in English.

Validate before commit

grep -n '^## ' TRENDS.md
# expected, in order: Active trends, observation_queue, source_rotation, strategy_notes, study_shelf, calibration
grep -c '^### \[id: ' TRENDS.md          # trend count matches expectations
grep -nE '^  - [0-9]{4}-[0-9]{2}-[0-9]{2} — ' TRENDS.md | head -3   # evidence format
grep -n '^Last updated:' TRENDS.m
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Ships withai-security-research-radar

Autonomous tracker of the offensive AI-security frontier — AI for offense and attacks against AI — for a security researcher; generated from TRENDS.md.

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Questions about radar-ledger-update.

Which coding agents can use radar-ledger-update?
radar-ledger-update installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.